Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges, Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, and Pierre Vandergheynst, 2021 (MIT Press) - Offers a unified mathematical framework for deep learning on geometric data, including a detailed exploration of various graph representations and their role in modern graph neural networks.